openai/GPTs-are-GPTs
File Churn
File change frequency (churn) shows the distribution of file updates (days with at least one commit).
Overview
File Change Frequency Overall
  • There are 2 files with 167 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 0 files changed 51-100 times (0 lines of code)
    • 0 files changed 21-50 times (0 lines of code)
    • 0 files changed 6-20 times (0 lines of code)
    • 2 files changed 1-5 times (167 lines of code)
0% | 0% | 0% | 0% | 100%
Legend:
101+
51-100
21-50
6-20
1-5

explore: grouped by folders | grouped by update frequency | data
Contributors Count Frequency Overall
  • There are 2 files with 167 lines of code.
    • 0 files changed by more than 25 contributors (0 lines of code)
    • 0 files changed by 11-25 contributors (0 lines of code)
    • 0 files changed by 6-10 contributors (0 lines of code)
    • 0 files changed by 2-5 contributors (0 lines of code)
    • 2 files changed by 1 contributor (167 lines of code)
0% | 0% | 0% | 0% | 100%
Legend:
26+
11-25
6-10
2-5
1

explore: grouped by folders | grouped by contributors count | data
File Change Frequency per File Extension
txt, ipynb, gitignore, md, py, do
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
do0% | 0% | 0% | 0% | 100%
py0% | 0% | 0% | 0% | 100%
File Change Frequency per Logical Decomposition
primary
primary (file change frequency)
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
code0% | 0% | 0% | 0% | 100%
Most Frequently Changed Files (Top 2)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
81 - 2024-06-20 2024-06-20 1 1 +98 / -0 pamela.mishkin@gmail.com pamela.mishkin@gmail.com
86 - 2024-06-20 2024-06-20 1 1 +119 / -0 pamela.mishkin@gmail.com pamela.mishkin@gmail.com
Files With Most Churn (Top 2)
Based on the number of lines added and deleted across all commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
86 - 2024-06-20 2024-06-20 1 1 +119 / -0 pamela.mishkin@gmail.com pamela.mishkin@gmail.com
81 - 2024-06-20 2024-06-20 1 1 +98 / -0 pamela.mishkin@gmail.com pamela.mishkin@gmail.com
Files With Most Contributors (Top 2)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
86 - 2024-06-20 2024-06-20 1 1 +119 / -0 pamela.mishkin@gmail.com pamela.mishkin@gmail.com
81 - 2024-06-20 2024-06-20 1 1 +98 / -0 pamela.mishkin@gmail.com pamela.mishkin@gmail.com
Files With Least Contributors (Top 2)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
86 - 2024-06-20 2024-06-20 1 1 +119 / -0 pamela.mishkin@gmail.com pamela.mishkin@gmail.com
81 - 2024-06-20 2024-06-20 1 1 +98 / -0 pamela.mishkin@gmail.com pamela.mishkin@gmail.com
Correlations

File Size vs. Number of Changes: 2 points

code/norm_otherscore_statsregs.do x: 86 lines of code y: 1 # changes code/plot_styles.py x: 81 lines of code y: 1 # changes
1.0
# changes
  min: 1.0
  average: 1.0
  25th percentile: 1.0
  median: 1.0
  75th percentile: 1.0
  max: 1.0
0 86.0
lines of code
min: 81.0 | average: 83.5 | 25th percentile: 81.0 | median: 83.5 | 75th percentile: 86.0 | max: 86.0

Number of Contributors vs. Number of Changes: 2 points

code/norm_otherscore_statsregs.do x: 1 # contributors y: 1 # changes
1.0
# changes
  min: 1.0
  average: 1.0
  25th percentile: 1.0
  median: 1.0
  75th percentile: 1.0
  max: 1.0
0 1.0
# contributors
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

Number of Contributors vs. File Size: 2 points

code/norm_otherscore_statsregs.do x: 1 # contributors y: 86 lines of code code/plot_styles.py x: 1 # contributors y: 81 lines of code
86.0
lines of code
  min: 81.0
  average: 83.5
  25th percentile: 81.0
  median: 83.5
  75th percentile: 86.0
  max: 86.0
0 1.0
# contributors
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

Number of Changes vs. Line Churn: 18 points

README.md x: 1 # changes y: 4 line churn data/occ_level.csv x: 1 # changes y: 924 line churn data/occ_level_abc (1) (1).csv x: 1 # changes y: 1848 line churn data/automation_gpt4_human_labels.tsv x: 1 # changes y: 19266 line churn data/national_May2021_dl.csv x: 1 # changes y: 1404 line churn data/occupations_onet_basic_skills.csv x: 1 # changes y: 874 line churn data/occupations_projections_processed.csv x: 1 # changes y: 1050 line churn data/autoScores.csv x: 1 # changes y: 6634 line churn code/gpts_are_gpts_script1.ipynb x: 1 # changes y: 6717 line churn code/norm_otherscore_statsregs.do x: 1 # changes y: 119 line churn
19266.0
line churn
  min: 4.0
  average: 4470.78
  25th percentile: 113.75
  median: 1001.0
  75th percentile: 6654.75
  max: 19266.0
0 1.0
# changes
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

Number of Contributors vs. Line Churn: 2 points

code/norm_otherscore_statsregs.do x: 1 # contributors y: 119 line churn code/plot_styles.py x: 1 # contributors y: 98 line churn
119.0
line churn
  min: 98.0
  average: 108.5
  25th percentile: 98.0
  median: 108.5
  75th percentile: 119.0
  max: 119.0
0 1.0
# contributors
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

File Size vs. Line Churn: 2 points

code/norm_otherscore_statsregs.do x: 86 lines of code y: 119 line churn code/plot_styles.py x: 81 lines of code y: 98 line churn
119.0
line churn
  min: 98.0
  average: 108.5
  25th percentile: 98.0
  median: 108.5
  75th percentile: 119.0
  max: 119.0
0 86.0
lines of code
min: 81.0 | average: 83.5 | 25th percentile: 81.0 | median: 83.5 | 75th percentile: 86.0 | max: 86.0